This picture showsChristian Weber

M.Sc.

Christian Weber

Researcher
IPVS
Applications of Parallel and Distributed Systems

Contact

+4971168588398
+4971168578398

Business card (VCF)

Universitätsstraße 38
D-70569 Stuttgart
Deutschland
Room: 2.365

Office Hours

on appointment

Subject

Working Area: ICT Platform for Manufacturing

  1. 2020

    1. Weber, C., Reimann, P.: MMP - A Platform to Manage Machine Learning Models in Industry 4.0 Environments. In: 24th IEEE International Enterprise Distributed Object Computing Workshop, EDOC Workshops 2020, Eindhoven, Netherlands. IEEE (2020).
    2. Weber, C., Hirmer, P., Reimann, P.: A Model Management Platform for Industry 4.0 - Enabling Management of Machine Learning Models in Manufacturing Environments. In: Abramowicz, W., Alt, R., Klein, G., Paschke, A., and Sandkuhl, K. (eds.) Proceedings of the 23rd International Conference on Business Information Systems. Springer International Publishing (2020).
    3. Stach, C., Giebler, C., Wagner, M., Weber, C., Mitschang, B.: AMNESIA: A Technical Solution towards GDPR-compliant Machine Learning. In: Proceedings of the 6th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications (2020). https://doi.org/10.5220/0008916700210032.
  2. 2019

    1. Weber, C., Hirmer, P., Reimann, P., Schwarz, H.: A New Process Model for the Comprehensive Management of Machine Learning Models. In: Filipe, J., Smialek, M., Brodsky, A., and Hammoudi, S. (eds.) Proceedings of the 21st International Conference on Enterprise Information Systems, ICEIS 2019, Heraklion, Crete, Greece, May 3-5, 2019, Volume 1. pp. 415–422. SciTePress (2019). https://doi.org/10.5220/0007725304150422.
  3. 2018

    1. Brenner, D., Weber, C., Lenz, J., Westkaemper, E.: Total Tool Cost of Ownership Indicator for Holistical Evaluations of Improvement Measures within the Cutting Tool Life Cycle. In: Wang, L., Kjellberg, T., Wang, X.V., and Ji, W. (eds.) Procedia CIRP. pp. 1404–1409. Elsevier B.V. (2018). https://doi.org/10.1016/j.procir.2018.03.164.
    2. Weber, C., Wieland, M., Reimann, P.: Konzepte zur Datenverarbeitung in Referenzarchitekturen für Industrie 4.0. Datenbank-Spektrum. 18, 39--50 (2018). https://doi.org/10.1007/s13222-018-0275-z.
  4. 2017

    1. Weber, C., Königsberger, J.: Industrie 4.0: Aktuelle Entwicklungen für Analytics. Teil 2: Vergleich und Bewertung von Industrie 4.0-Referenzarchitekturen. wt Werkstattstechnik online. 107, 405–409 (2017).
    2. Weber, C., Königsberger, J.: Industrie 4.0: Aktuelle Entwicklungen für Analytics. Teil 1: Analytics und Datenmanagement in Industrie 4.0-Referenzarchitekturen. wt Werkstattstechnik online. 107, 113–117 (2017).
    3. Weber, C., Königsberger, J., Kassner, L., Mitschang, B.: M2DDM - A Maturity Model for Data-Driven Manufacturing. In: Tseng, M.M., Tsai, H.-Y., and Wang, Y. (eds.) Manufacturing Systems 4.0 – Proceedings of the 50th CIRP Conference on Manufacturing Systems. pp. 173–178. Elsevier B.V. (2017). https://doi.org/10.1016/j.procir.2017.03.309.
  5. 2016

    1. Kassner, L., Gröger, C., Königsberger, J., Hoos, E., Kiefer, C., Weber, C., Silcher, S., Mitschang, B.: The Stuttgart IT Architecture for Manufacturing - An Architecture for the Data-Driven Factory. In: Hammoudi, S., Maciaszek, L.A., Missikoff, M., Camp, O., and Cordeiro, J. (eds.) Enterprise Information Systems - 18th International Conference, ICEIS 2016, Rome, Italy, April 25-28, 2016, Revised Selected Papers. pp. 53–80. Springer International Publishing (2016). https://doi.org/10.1007/978-3-319-62386-3.

Description

Eine Plattform zur Verwaltung von Modellen des maschinellen Lernens im Umfeld von Industrie 4.0

Funding

This project is primarily funded by the German Research Foundation (DFG) within the Graduate School of Excellence advanced Manufacturing Engineering (GSaME).

GSaME-Logo_komplett_RGB            dfg_logo_schriftzug_blau_foerderung_en

Additionally, it is supported by the Software Campus Initiative, which is funded by the German Federal Ministry of Education and Research (BMBF).

SWC      bmbf_logo_neu_eng

 

Offered student projects: -

Ongoing student projects: -

Supervised Student Projects

04/2016 – today                            PhD Student
                                                    Graduate School of Excellence
                                                    advanced Manufacturing Engineering
                                                    University of Stuttgart

10/2014 – 03/2015                        Semester Abroad
                                                    James Cook University Singapore

03/2013 – 07/2015                        M.Sc. Business Informatics
                                                    Reutlingen University

10/2009 – 02/2013                        B.Sc. Business Informatics
                                                    Reutlingen University

10/2006 – 07/2009                        Certified Computer Scientist
                                                    Akademie für Datenverarbeitung Böblingen

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